Finout Announces Agentless Cost Governance Suite for Kubernetes
April 13, 2023

Finout announced a suite of cost governance tools for managing, forecasting, and optimizing multi-cloud Kubernetes spend.

Finout’s agentless solution offers monitoring for unlimited Kubernetes clusters at no additional charge.

“Cloud usage will continue to grow for most scaling modern businesses running on Kubernetes,” said Roi Rav-Hon, CEO & Co-Founder of Finout. “But the days are gone when engineers have virtually unlimited spend. Everyone needs to understand why the money is being spent the way it is, eliminate the waste wherever possible, and ensure on a daily basis that budget is being met and costs are staying within certain limits.”

Finout’s cost governance suite can be used across Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), and more. “It’s impressive how Finout provides everything that we need right out of the box,” said Jean-Brice Gachot, Senior Lead SRE at ManoMano.

Agentless Cost Governance Suite for Kubernetes includes:

- Unlimited Clusters: Analyze unlimited Kubernetes clusters with no additional charge.

- Unified MegaBill: Unlike any other solution in the market. Finout will contextualize Kubernetes spend alongside all other cloud providers and services in a unified dashboard.

- Budget and Forecasting: Set a budget for your Kubernetes deployment and then accurately track spend against that budget. Quickly identify any areas where there may be overspending and make adjustments accordingly. Forecasting leverages machine learning to predict future spend based on past patterns and anticipated changes in workload.

- Anomaly Detection: Identify spend anomalies across Kubernetes and all other major cloud services. Virtual tagging enables anomaly detection for specific teams or applications for greater profitability and accountability.

- Kubernetes CostGuard: Kubernetes cost optimization insights and dynamic recommendations that help organizations continuously manage and reduce their Kubernetes spend.

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